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README.md

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+---
+license: cc-by-nc-4.0
+---
+
+# SpatialGen Testset
+
+[Code](https://github.com/manycore-research/SpatialGen)
+
+We provide a test set of 48 preprocessed point clouds and their corresponding GT layouts, multi-view images are cropped from the high-resolution panoramic images.
+
+## Folder Structure
+
+Outlines of the dataset files:
+```bash
+SpatialGen-Testset
+|-- {scene_id}              # scene folder          
+|   |-- rgb                 # multi-view color images
+|   |-- semantic            # multi-view semantic maps
+|   |-- depth               # multi-view depth maps
+|   |-- normal              # multi-view normal maps
+|   |-- layout_depth        # rendered depth maps of the GT layout
+|   |-- layout_semantic     # rendered semantic maps of the GT layout
+|   |-- cameras.json        # camera parameters for the scene
+|   `-- room_layout.json    # GT layout
+`-- test_split.txt          # testing split
+```
+
+## Visualization
+
+We provide a [code](https://github.com/manycore-research/SpatialGen/blob/main/visualize_layout.py) to visualize the layout data.
+
+```python
+data_root_dir = "./example_data/scenes"
+vis_root_dir = "./visualization"
+scene_data_dirs = [os.path.join(data_root_dir, d) for d in os.listdir(data_root_dir) if d.startswith("scene_")]
+
+for scene_data_dir in scene_data_dirs:
+    vis_output_dir = os.path.join(vis_root_dir, scene_data_dir.split('/')[-1])
+    # save layout_bbox.ply and camera poses in vis_output_dir
+    visualize_spatialgen_data(scene_data_dir, vis_output_dir)
+```